Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{187924,
        author = {Amisha Gohil and Sweety Shah},
        title = {CORRELATION OF PEFR WITH ANTHROPOMETRIC PARAMETERS IN YOUNG HEALTHY ADULT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {87-92},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187924},
        abstract = {Background:  The peak expiratory flow rate (PEFR) is defined as the maximum or peak flow rate that is attained during a forceful expiratory effort after taking a deep inspiration, It is expressed in liters per minute. PEFR measurement is a simple test of respiratory function used in the diagnosis and prognosis of obstructive airway disease. Anthropometric parameters such as height, weight and Body mass index (BMI) are known to influence lung volumes and flow rates.
Objective: To assess the correlation between the PEFR with anthropometric parameters in young healthy adult.
Method: It is an observational study. 100 young healthy adults, aged 18-25 years were selected using convenience sampling. Anthropometric data, including height, weight, BMI were collected from each participant. PEFR was measured using a peak flow meter with the subject comfortably seated, Best out of the three trials was recorded.
Results: There was a significant positive correlation between variables of height with PEFR (r = 0.492, p =0.00), BMI with PEFR (r = 0.287, p = 0.004) and Weight with PEFR ( r = 0.471, p = 0.00).
Conclusion: There is a significant correlation between PEFR and specific anthropometric parameters in young healthy adults. Height, weight and BMI to be significant predictors of PEFR, indicating that body characteristics influence respiratory function.},
        keywords = {PEFR, Anthropometric Parameters, BMI, Young healthy adults.},
        month = {November},
        }